Triple
T20557380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ubykh |
E504753
|
entity |
| Predicate | lastNativeSpeaker |
P64080
|
FINISHED |
| Object | Tevfik Esenç |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tevfik Esenç | Statement: [Ubykh, lastNativeSpeaker, Tevfik Esenç]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tevfik Esenç Context triple: [Ubykh, lastNativeSpeaker, Tevfik Esenç]
-
A.
Tevfik Esenç
chosen
Tevfik Esenç was a Turkish man of Ubykh descent renowned as the last fluent speaker of the Ubykh language and a key source for its documentation by linguists.
-
B.
Tevfik Akdağ
Tevfik Akdağ was a Turkish poet associated with the İkinci Yeni (Second New) movement, known for his modernist and experimental approach to poetry.
-
C.
Şükrü Saracoğlu
Şükrü Saracoğlu was a Turkish politician who served as Prime Minister of Turkey during the 1940s and was a prominent figure in the early Republican era.
-
D.
Yıldırım Akbulut
Yıldırım Akbulut was a Turkish politician who served as Prime Minister and later as Speaker of the Grand National Assembly during the late 20th century.
-
E.
Şefik Birkiye
Şefik Birkiye is a Turkish-Belgian architect known for designing large-scale governmental and institutional buildings, including Turkey’s Presidential Complex in Ankara.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4b6587c8190aee63dc7cff244ea |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a5df84088190848c7eb35564d8f9 |
completed | April 20, 2026, 10:17 p.m. |
Created at: April 16, 2026, 11:38 a.m.